Müller-Polyzou Ralf, Reuter-Oppermann Melanie, Feger Jasmin, Meier Nicolas, Georgiadis Anthimos
Faculty of Management and Technology, Leuphana University, Lüneburg, Germany.
Faculty of Health, Medicine and Life Sciences, Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands.
Health Syst (Basingstoke). 2024 Oct 28;13(4):332-360. doi: 10.1080/20476965.2024.2395567. eCollection 2024.
Effective radiotherapy for cancer treatment requires precise and reproducible positioning of patients at linear accelerators. Assistance systems in digitally networked radiotherapy can help involved specialists perform these tasks more efficiently and accurately. This paper analyses patient positioning systems and develops new knowledge by applying the Design Science Research methodology. A systematic literature review ensures the rigour of the research. Furthermore, this article presents the results of an online survey on assistance systems for patient positioning, the derived design requirements and an artefact in the form of a conceptual model of a patient positioning system. Both the systematic literature review and the online survey serve as empirical evidence for the conceptual model. This paper thereby contributes to broadening the academic knowledge on patient positioning in radiotherapy and provides guidance to system designers.
癌症治疗的有效放射疗法需要患者在直线加速器上进行精确且可重复的定位。数字化网络放射治疗中的辅助系统可帮助相关专家更高效、准确地完成这些任务。本文运用设计科学研究方法分析患者定位系统并开发新知识。系统的文献综述确保了研究的严谨性。此外,本文还展示了一项关于患者定位辅助系统的在线调查结果、得出的设计要求以及一个以患者定位系统概念模型形式呈现的人工制品。系统文献综述和在线调查均作为概念模型的实证依据。本文由此有助于拓宽放射治疗中患者定位的学术知识,并为系统设计者提供指导。